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engineering and sustainable energy systems and help develop future large-scale Power-to-X solutions. Your work tasks In this PhD fellowship at AAU Energy, you will work with dynamic modeling, simulation and
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, mathematics, biology, and epidemiology, developing and applying novel statistical methods and deep learning approaches for global health challenges. The group’s research spans disease modelling, genomic
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to molecular hydration. The student will develop experimental methodologies and combine these with state-of-the-art characterization techniques, including Magnetic Resonance Imaging (MRI), Nuclear Magnetic
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getting these defenses to run on small, low-power embedded devices, so the lab develops lightweight AI and trustworthy embedded platforms that can detect and respond to threats on their own. The goal is
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Management Cluster. Our faculty members rely on a wide range of theories and methodologies, within both qualitative and quantitative approaches, and are committed to rigorous theory development and theory
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field concerns development of innovative concepts that can enable the use of alternative biomasses for production of healthy, tasty and sustainable food products for the future with particular emphasis
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computational data processing applied to antimicrobial resistance (AMR)? Do you want to train the next generation of scientists in computational microbiology, while advancing applied research in computational
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years. Your work tasks This PhD project focuses on the design and control of energy-efficient hydraulic systems with integrated safety functionalities. The overall objective is to develop innovative
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level, from the quantum processor to the quantum-classical interface all the way to quantum algorithms and applications. The vision of the programme is to enable the development of fault-tolerant quantum
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human activities that push species to extinction and potentially disrupts ecosystem functionality. Our interdisciplinary lab will develop novel Graph Representation Learning models to understand and